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On global sequence alignment

Huang, Xiaoqui·1994·Bioinformatics

Abstract

We present a dynamic programming algorithm for computing a best global alignment of two sequences. The proposed algorithm is robust in identifying any of several global relationships between two sequences. The algorithm delivers a best alignment of two sequences in linear space and quadratic time. We also describe a multiple alignment algorithm based on the pairwise algorithm. Both algorithms have been implemented as portable C programs. Experimental results indicate that for a commonly used set of gap penalties, the new programs produce more satisfactory alignments on sequences of various lengths than some existing pairwise and multiple programs based on the dynamic programming algorithm of Needleman and Wunsch.

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Metadata

Authors
Huang, X.
Venue
Bioinformatics
Published
1994
Volume
10
Issue
3
Pages
227-235
ISSN
  • 0266-7061 (ISSN-L)
  • 1367-4803
  • 1460-2059
OpenAlex
W2143464518
Cited by
224
References
0
FWCI
3.19
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: On global sequence alignment. https://app.cochat.ai/papers/10.1093/bioinformatics/10.3.227
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Huang, X. (1994). On global sequence alignment. Bioinformatics. https://doi.org/10.1093/bioinformatics/10.3.227

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